515 Open source projects that are alternatives of or similar to Chexnet Keras

🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Generate slow-motion videos by interpolating more frames

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

PeleeNet: An efficient DenseNet architecture for mobile devices

Image reconstruction done with untrained neural networks.

Handwritten Digit Recognition using Machine Learning and Deep Learning

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

基于卷积神经网络的语音识别声学模型的研究

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

convolutional lstm implementation in pytorch

A journey into Convolutional Neural Network visualization

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

ECG classification programs based on ML/DL methods

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Text to Speech with PyTorch (English and Mongolian)

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

Object classification with CIFAR-10 using transfer learning

A machine learning experiment

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

Image Deblurring using Generative Adversarial Networks

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Medical image registration using deep learning

A Keras Implementation of "A Neural Algorithm of Artistic Style"

Implementation of Very Deep Convolutional Neural Network for Text Classification

Repository for Region Ensemble Network based Hand Pose Estimation

Accelerate Neural Net Training by Progressively Freezing Layers

Artificial neural network classes and tools in Python and TensorFlow.

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

a collection of my notes on deep learning

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Udacity Self-Driving Car Engineer Nanodegree projects.

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Weakly Supervised Learning for Findings Detection in Medical Images

实现常用基于深度学习的人脸检测算法

Important paper implementations for Question Answering using PyTorch

Using Machine Learning to predict the type of exercise from movement data

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

A binary library for very fast face detection using compact CNNs.

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

A curated list of dedicated resources and applications

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Repository has been moved: https://github.com/adobe/antialiased-cnns